Atom-tagger refers to a tool or software that categorizes textual data into meaningful groups or tags. Synonyms for atom-tagger include text tagger, entity extractor, information organizer, content classifier, phrase identifier, text analyzer, and keyword extractor. These terms refer to tools that are widely used in text mining, natural language processing, and machine learning applications. By using these tools, researchers and analysts can extract relevant information from large amounts of unstructured text data, such as social media posts, product reviews, news articles, and scientific literature. The ability to accurately tag or label text data can help organizations to make better decisions, gain insights about customer needs, monitor brand reputation, and optimize content strategy.